Computational intelligence : (Record no. 1934)

MARC details
000 -LEADER
fixed length control field 04977cam a22004215i 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-CaNGU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240129140543.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230829t2022 sz a fob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783030422271
040 ## - CATALOGING SOURCE
Original cataloging agency WaSeSS
Language of cataloging eng
Modifying agency WaSeSS
-- EG-CaNGU
Transcribing agency EG-CaNGU
Description conventions rda
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Kruse, Rudolf,
Relator term author.
9 (RLIN) 5554
245 10 - TITLE STATEMENT
Title Computational intelligence :
Remainder of title a methodological introduction /
250 ## - EDITION STATEMENT
Edition statement Third edition.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Cham, Switzerland :
Name of producer, publisher, distributor, manufacturer Springer Nature,
Date of production, publication, distribution, manufacture, or copyright notice [2022]
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice ©2022
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xiv, 639 pages) :
Other physical details illustrations.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
490 0# - SERIES STATEMENT
Series statement Texts in computer science,
International Standard Serial Number 1868-095X
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.<br/>
505 00 - FORMATTED CONTENTS NOTE
Formatted contents note Introduction -- Part I: Neural Networks -- Introduction -- Threshold Logic Units -- General Neural Networks -- Multi-Layer Perceptrons -- Radial Basis Function Networks -- Self-Organizing Maps -- Hopfield Networks -- Recurrent Networks -- Mathematical Remarks for Neural Networks -- Part II: Evolutionary Algorithms -- Introduction to Evolutionary Algorithms -- Elements of Evolutionary Algorithms -- Fundamental Evolutionary Algorithms -- Computational Swarm Intelligence -- Part III: Fuzzy Systems -- Fuzzy Sets and Fuzzy Logic -- The Extension Principle -- Fuzzy Relations -- Similarity Relations -- Fuzzy Control -- Fuzzy Data Analysis -- Part IV: Bayes and Markov Networks -- Introduction to Bayes Networks -- Elements of Probability and Graph Theory -- Decompositions -- Evidence Propagation -- Learning Graphical Models -- Belief Revision -- Decision Graphs.
506 ## - RESTRICTIONS ON ACCESS NOTE
Terms governing access Available on campus and off campus with authorized login.
520 ## - SUMMARY, ETC.
Summary, etc. Computational intelligence comprises concepts, paradigms, algorithms, and implementations of systems that are intended to exhibit intelligent behavior in complex environments. It relies heavily on (at least) nature-inspired methods, which have the advantage that they tolerate incomplete, imprecise and uncertain knowledge and thus also facilitate finding solutions that are approximative, manageable and robust at the same time. Fully updated, this new edition of the authoritative textbook provides a clear and logical introduction to Computational Intelligence, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems that exhibit intelligent behavior in complex environments. Rather than aim for completeness, the goal is to give a methodical introduction, supporting fundamental concepts and their implementations with explanation of the theoretical background of proposed problem solutions. Topics and features: Offers new material on deep learning, scalarization, large-scale optimization algorithms, and collective decision-making algorithms Contains numerous classroom-tested examples and definitions Discusses in detail the classical areas of artificial neural networks, fuzzy systems, evolutionary algorithms, and Bayes and Markov networks Reviews the latest developments, including such topics as ant colony optimization and probabilistic graphical models Provides supplementary material, including module descriptions, lecture slides, exercises with solutions, and software tools This seminal textbook is primarily meant as a companion book for lectures on the covered topics in the area of computational intelligence. However, it is also eminently suitable as a guidebook for self-study by students and practitioners from industry and commerce. Dr. Rudolf Kruse is the former leader of the Computational Intelligence Research Group and now Emeritus Professor of the Department of Computer Science at the University of Magdeburg, Germany. Dr. Sanaz Mostaghim is a full Professor of Computer Science and Dr. Christian Braune is a Senior Lecturer at the same institution. Dr. Christian Borgelt is a Professor of Data Science at the Paris Lodron University of Salzburg, Austria. Dr. Matthias Steinbrecher is a Development Architect at SAP SE, Potsdam, Germany.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence
Source of heading or term NGU-sh
9 (RLIN) 4811
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Engineering mathematics
Source of heading or term NGU-sh
9 (RLIN) 4954
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Engineering
General subdivision data processing.
Source of heading or term NGU-sh
9 (RLIN) 5555
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computational intelligence.
Source of heading or term NGU-sh
9 (RLIN) 5544
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer science
Source of heading or term NGU-sh
9 (RLIN) 3903
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
Source of term NGU-sh
9 (RLIN) 1203
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Mostaghim, Sanaz,
Relator term author.
9 (RLIN) 5556
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Borgelt, Christian,
Relator term author.
9 (RLIN) 5557
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Braune, Christian,
Relator term author.
9 (RLIN) 5558
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Steinbrecher, Matthias,
Relator term author.
9 (RLIN) 5559
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Klawonn, F.,
Relator term author.
9 (RLIN) 5560
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Moewes, Christian,
Relator term author.
9 (RLIN) 5561
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name Online resource.
Uniform Resource Identifier <a href="https://link.springer.com/book/10.1007/978-3-030-42227-1">https://link.springer.com/book/10.1007/978-3-030-42227-1</a>
Public note Online resource.
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Arrivals Code Barcode Date last seen Uniform Resource Identifier Price effective from Koha item type
    Dewey Decimal Classification     Information Technology Online Online 08/29/2023 ITS202308 E1000044 08/29/2023 https://link.springer.com/book/10.1007/978-3-030-42227-1 08/29/2023 eBook